{"id":1334408,"url":"https://alion.io/job/iab-canada-director-analytics-products-and-solutions","title":"Director - Analytics Products and Solutions","company":{"id":1754974,"name":"IAB Canada","domain":"iabcanada.com","url":"https://alion.io/company/iabcanada-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":18,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":404},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-16T00:00:00Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-11-06T05:51:25Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":113},"description":"Job Description\nRole: Director - Analytics Products and Solutions\nLocation: Bangalore (Hybrid)\nRole Type: People Leader (multi-team / product portfolio)\nReporting to: COO\nWhat we are- MiQ\nWe’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better.\nRole purpose\nAs Director - Analytics Products and Solutions, you will be the technical leader who owns the end-to-end architecture, solutioning, and delivery of MiQ's local product portfolio. Product strategy, roadmap prioritisation, and go-to-market plans are owned by commercial product leadership; you will partner closely with them, contributing technical feasibility, architectural input, and solutioning expertise to shape what gets built. Your core accountability is for how products are built, tested, deployed, maintained, and evolved - spanning product architecture, scalability best practices, DevOps, QA and testing frameworks, adoption tracking, and Agile/Scrum delivery practices - ensuring world-class engineering practices and leveraging AI accelerators to ship high-quality solutions at speed. You will also maintain strong awareness of and hands-on familiarity with modern data and analytics tooling (Ex: Databricks, Spark, Gathr) to inform sound technology choices.\nAs you help shape the strategy, prioritisation, and evolution of MiQ’s Local Products capability - in partnership with commercial product leadership - your core mandate is also to ensure Local Products builds the right capabilities - not just more capabilities - by:\nDefining what Local Products should and should not build\nEstablishing clear ownership boundaries with Sigma (central product)\nDriving prioritised, scalable, high-impact product development by integrating AI accelerators into the process\nShifting Local Products from a reactive build function to a structured, product-led capability layer\nThis is a technical leadership and product governance role with deep technical depth, working in close partnership with commercial product leadership - who are accountable for product strategy, roadmap, and go-to-market plans.\nYou will work at the intersection of:\nData Science organisation - partnering with the DS leadership to translate models and analytical capabilities into production-ready product features.\nLocal Product & Commercial teams - shaping products that drive measurable business outcomes for key markets.\nEngineering & Platform teams - ensuring products are robust, scalable, well-tested, and cost-efficient.\n Data & Analytics (DnA) - leveraging reusable data assets and analytical capabilities.\nWhat you'll do\n1. Product Vision, Strategy, Identity & Roadmap Ownership\nDefine the role of Local Products within MiQ’s ecosystem:As the agency solutions layer (planning, activation, signal generation)\nDistinct from Sigma (scale layer) and Measurement & Insights\n\nClearly articulate:What LP builds\nWhat LP does NOT build\nHow LP supports markets vs Product vs DnA\n\nPartner with central Product teams to:transition scalable capabilities into Sigma\navoid parallel / duplicate builds\n\nEvolve LP from a feature factory to capability-driven organisation\nTranslate ambiguous business problems from markets into clear product hypotheses, technical problem statements, and prioritised roadmaps to solve them.\nPrioritise across multiple products and initiatives using impact, effort, and strategic alignment frameworks (Ex: RICE, MoSCoW, Cost of Delay); ensure product and solution OKRs are met across the portfolio.\nOwn the product lifecycle end-to-end - from ideation and proof-of-concept through build, launch, adoption tracking, iteration, maintenance, and sunset decisions.\nMake deliberate build vs buy vs partner decisions - evaluating technology options, open-source components, and third-party integrations against in-house development for each product capability.\nPartner with Product Management and commercial stakeholders to validate opportunities and translate market needs into technically sound, deliverable product plans.\n2. Technical Leadership & Solutioning\nProvide hands-on technical leadership across solutioning and product architecture - designing systems that are robust, extensible, and built to scale across markets, in line with scalability best practices.\nChampion DevOps practices - CI/CD pipelines, infrastructure automation, environment management, and release orchestration - to enable fast, reliable, and safe deployments.\nOwn QA and testing frameworks across the portfolio - defining automated testing strategy, coverage standards, and quality gates that products must clear before release.\nDrive adoption tracking and instrumentation - ensuring every product has clear usage, engagement, and adoption metrics built in from day one.\nBring strong Scrum ceremonies expertise and best practices - leading and coaching teams through sprint planning, stand-ups, backlog grooming, sprint reviews, and retrospectives to drive predictable, high-quality delivery.\nMaintain strong awareness of and evaluate the latest data and analytics tooling - including Databricks, Spark, Gathr, and other emerging platforms - to inform build decisions and keep the technology stack current.\n3. Prioritisation and Product Governance\nEstablish a centralised intake and prioritisation model across markets\nEnsure all work is evaluated against:commercial impact\nScalability\nReusability\nSigma alignment\n\nAct as the single-threaded owner of roadmap decisions and deployment excellence, making trade-offs across:market demand\nengineering capacity\nstrategic priorities\n\nReduce:ad-hoc builds\nDuplication\nlow-impact features\n\nProvide technical leadership across the full (SDLC): requirements analysis, system design, implementation, testing, deployment, monitoring, and ongoing maintenance.\nEstablish and own the QA/QC framework for the portfolio: automated testing strategies (unit, integration, regression, performance), test coverage standards, and quality gates that products must clear before release.\nOwn the maintenance and upgrade strategy for shipped products - including SLA definitions, incident management, technical debt tracking and upgrade pathways that keep products healthy and supportable over time.\nChampion the integration of AI accelerators into the product development workflow - evaluating and embedding tools such as AI-powered code assistants (Ex: Copilot, Cursor), automated code review, AI-driven test generation, intelligent documentation, and GenAI-powered prototyping to boost developer productivity and reduce cycle time.\nPartner with the Data Science organisation to productionise models and analytical capabilities - defining clear contracts, integration patterns, performance benchmarks, and monitoring for ML components within products.\nDrive design thinking and user-centric development practices - ensuring local products are built with deep empathy for end-user workflows, not just technical elegance.\n4. People Leadership, Coaching & Culture\nLead and grow a high-performing product + technical team\nBuild leaders who can:think commercially\nprioritise effectively\noperate cross-functionally\n\nShift team mindset from: “delivering requests” to “solving problems at scale”\nBuild a high-trust culture that emphasises ownership, quality craftsmanship, delivery excellence, learning, and autonomy.\nCoach technical leaders on stakeholder management, storytelling, product thinking, and commercial awareness so they can independently drive workstreams and influence senior partners.\nFoster cross-functional fluency - developing team members who are equally comfortable discussing system architecture, product metrics, and business impact.\nUpskill teams on modern development practices and AI-powered tooling - ensuring the organisation stays current with evolving best practices\nDefine and support learning and development plans, including opportunities to contribute to thought leadership (blogs, talks, open-source contributions, internal workshops).\n5. Cross-Functional Collaboration & Stakeholder Management\nPartner with:Product (Sigma)\nProduct Data Science\nEngineering\nMarkets & Commercial\n\nDrive alignment across:Roadmap\nOwnership\ndelivery expectations\n\nAct as the primary technical product partner for local Product, Commercial, Markets, and Strategy leaders on your products.\nPartner with key stakeholders - aligning on model requirements, productionisation timelines, performance targets, and integration roadmaps for ML-powered features.\nDrive cross-functional alignment - facilitate product councils, architecture reviews, roadmap syncs, and sprint demos to ensure all teams are rowing in the same direction.\nCommunicate complex technical concepts in simple, business-friendly language to senior, non-technical stakeholders - building confidence, driving adoption, and securing buy-in for investment decisions.\nRepresent DnA and MiQ in internal and external forums (Ex: product councils, client meetings, industry events) as a senior technical product leader.\n6. Cost, Risk & Operational Excellence\nOwn compute and tooling budgets for your domain; drive optimisation initiatives without compromising quality or innovation.\nChampion effective, lightweight Agile practices across teams; partner with Program/Project Management to continuously improve ways of working and delivery predictability.\nProactively identify delivery, technical, and organisational risks and put in place mitigation plans\nEstablish product health dashboards - tracking adoption, engagement, client satisfaction, and business impact metrics for every product in the portfolio.\n7. Org-wide Initiatives & Thought Leadership\nContribute meaningfully to org-wide initiatives (Ex: hiring, calibration, promotion frameworks, diversity & inclusion, capability building) beyond your immediate remit.\nHelp define MiQ's long-term product development and AI strategy, including the adoption of AI accelerators, next-generation development practices, and emerging technology evaluation.\nChampion a product-led mindset across the organisation - advocating for quality-first delivery, user-centricity, and continuous improvement as cultural norms.\nProactively contact new and existing clients and educate, propose and secure buy-in on MiQ Solutions\nWho are your stakeholders?\nYou will work closely with:\nProduct Data Science organisation: as a key stakeholder and partner, collaborating on model productionisation, ML feature integration, and analytical capability roadmaps.\nData & Analytics leadership: to shape strategy, investment, and talent plans.\n Product Management (global and local): to co-own roadmaps and outcomes for local products.\nEngineering & Platform teams: to build robust, scalable, and maintainable systems and shared infrastructure.\nDesign & UX: to ensure products are intuitive, usable, and aligned with end-user workflows.\n Markets & Commercial teams (Sales, Trading, Account Management, Solutions, Client Partners): to validate opportunities, understand market needs, and drive client value at scale.\nWhat you’ll bring\n12+ years in product, platform, or technical leadership roles in data-heavy environments (adtech/martech preferred)\nProven experience:defining product strategy and roadmaps\nprioritising across competing demands\nscaling products from 0->1 and 1->N\n\nExperience working across:product\nengineering\ndata science\ncommercial teams\n\nComfortable making trade-offs across:scale vs custom\nspeed vs quality\nmarket vs product\n\nAbility to connect:Capabilities\nWorkflows\nplatforms (Sigma)\n\nStrong understanding of:data platforms (Databricks, AWS)\nengineering practices\nML/DS productionisation\nEnough to challenge teams - not to micromanage\n\nTechnical Skills\nStrong proficiency in Python (and ideally PySpark) for building data-intensive applications and automation.\nStrong command of SQL and experience with large-scale data p...","description_format":"text","description_chars":16948,"description_truncated":true,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Parental leave"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Standards & Industry Bodies"],"lifecycle":[{"event":"open","at":"2026-09-27T13:34:54Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.393,"p_room":0.28,"age_days":113,"expected_fill_days":26,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/iab-canada-director-analytics-products-and-solutions","json_url":"https://alion.io/job/iab-canada-director-analytics-products-and-solutions.json","meta":{"generated_at":"2026-11-06T08:31:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15348,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1754974},"rest":"https://alion.io/mcp/rest/get_company?id=1754974"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fiab-canada-director-analytics-products-and-solutions"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fiab-canada-director-analytics-products-and-solutions"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fiab-canada-director-analytics-products-and-solutions"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/iab-canada-director-analytics-products-and-solutions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fiab-canada-director-analytics-products-and-solutions"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1334408}},{"tool":"search_jobs","arguments":{"company":"iabcanada.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1334408},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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